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The Readmission Reduction Module
Decrease Readmissions | Improve Post-Discharge Care | Increase Efficiency
The Challenge
Many hospitals face a significant challenge due to insufficiently managed post-discharge care and the inability to predict which patients are at risk of readmission before they are discharged. This strains the already LIMITED CAPACITY of the inpatient unit and results in a waste of millions of pounds annually in terms of physical, human, and financial resources.
The Solution – inspiRE
Sach inspiRE unleashes the trapped capacity in the inpatient unit by leveraging comprehensive historical clinical data and applying advanced machine learning algorithms combined with artificial intelligence that can continuously adapt and learn on its own. It uses predictive and prescriptive analytics to generate accurate predictions for a proactive, post-discharge care with real-time insights!
Predictions for all the patients prior to discharge
To reduce readmission rates
Predicts patients who
are likely to be readmitted before discharged from the facility
To allow coordinated planning by the hospital/ general physician/ family physician/ outpatient care
Predicts when the
patient will readmit
With OVER 80% ACCURACY
The Visualisations
Check Out Our Other Modules
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